[Remote] Auto Benchmarking Analyst
Note: The job is a remote job and is open to candidates in USA. JD Power is a leading company in the automotive industry, and they are seeking an Analyst within their Automotive Quality Product Management team. This role involves delivering high-impact data analysis and insights to support automotive manufacturers, dealers, and suppliers, focusing on translating complex data into meaningful insights.
Responsibilities
- Analyze and interpret complex datasets to support syndicated automotive research studies
- Develop high-quality, client-ready deliverables that communicate insights clearly and accurately
- Evaluate multiple data factors to solve diverse and complex business problems
- Identify opportunities to improve analytical methodologies, enhance deliverable quality, and generate efficiencies
- Partner cross-functionally with research production teams and other internal stakeholders to ensure seamless execution
- Validate and quality-check data outputs to maintain the highest standards of accuracy
- Utilize tools such as Excel, mTAB, SPSS, and PowerPoint to analyze, format, and present research findings
- Contribute to a collaborative team environment while managing multiple projects simultaneously
Skills
- Demonstrable experience in data analysis, market research, business intelligence, or related analytical functions, including experience working with complex datasets and cross-tabulation tools
- Must be proficient in using Excel and SPSS; mTab experience is a plus
- Proficiency in developing executive-ready presentations using PowerPoint
- Exposure to the automotive industry or mobility sector is an asset
- Educational background in Data Science, Market Research, Business Analytics, Statistics, or a related field
- Experience operating in fast-paced, deadline-driven environments with multiple concurrent priorities
- Strong analytical thinking and problem-solving capabilities, with sound judgment in selecting methods and approaches
- High attention to detail and commitment to data accuracy and quality
- Strong written and verbal communication skills
- Experience supporting client-facing teams or responding to stakeholder requests is an asset
- Familiarity with Python is a plus
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